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- Tasks: Design and deploy cutting-edge machine learning models for computer vision.
- Company: Join a pioneering Deep Tech startup transforming the CPG industry with innovative image recognition.
- Benefits: Enjoy a full-time role with opportunities for growth and collaboration in a dynamic environment.
- Why this job: Be part of a revolutionary team making a real impact in technology and consumer goods.
- Qualifications: 4+ years of experience in deploying machine learning models; deep knowledge of computer vision required.
- Other info: Familiarity with reinforcement learning is a bonus!
The predicted salary is between 48000 - 84000 £ per year.
** Please only apply if you have previous experience working on Large Vision Models or Large Language Models **
We have partnered with a Deep Tech Seed Stage startup, who are revolutionising the CPG industry by implementing Image recognition. The team are looking for someone with deep Computer Vision knowledge.
Role:
- Model Development: Design, build, and deploy machine learning models for computer vision applications.
- Algorithm Optimization: Iterate on model architectures and hyperparameters to improve performance throughput while maintaining efficiency.
- Collaboration: Work closely with cross-functional teams.
- Performance Monitoring: Monitor live models and performance metrics.
Requirements:
- 4+ years of hands-on experience deploying machine learning models in production environments.
- In-depth understanding of computer vision techniques, including image classification, detection, and segmentation.
- Familiarity with reinforcement learning methods is a plus.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and Media
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Senior Machine Learning Engineer employer: Few&Far
Contact Detail:
Few&Far Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your experience with Large Vision Models and Large Language Models in any conversations you have. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your expertise and relevance to the role.
✨Tip Number 2
Network with professionals in the computer vision field, especially those who work with startups. Attend relevant meetups or webinars to connect with others and learn about the latest trends, which can give you an edge during interviews.
✨Tip Number 3
Prepare to discuss your approach to model development and algorithm optimisation in detail. Be ready to explain how you've iterated on architectures and hyperparameters in past projects, as this will show your problem-solving skills and technical depth.
✨Tip Number 4
Familiarise yourself with performance monitoring tools and techniques for live models. Being able to discuss how you've monitored and improved model performance in real-time will demonstrate your practical experience and commitment to maintaining high standards.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your previous experience with Large Vision Models or Large Language Models. Detail specific projects where you designed, built, or deployed machine learning models, particularly in computer vision.
Showcase Technical Skills: Clearly outline your technical skills related to computer vision techniques such as image classification, detection, and segmentation. Mention any familiarity with reinforcement learning methods, as this could set you apart.
Tailor Your CV: Customise your CV to reflect the requirements of the role. Use keywords from the job description to ensure your application stands out to hiring managers and applicant tracking systems.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also expresses your enthusiasm for the role and the company. Discuss how your background aligns with their mission to revolutionise the CPG industry through image recognition.
How to prepare for a job interview at Few&Far
✨Showcase Your Experience with Large Models
Make sure to highlight your previous work with Large Vision Models or Large Language Models. Be prepared to discuss specific projects, the challenges you faced, and how you overcame them.
✨Demonstrate Your Computer Vision Knowledge
Since the role requires deep knowledge in computer vision, brush up on key techniques like image classification, detection, and segmentation. Be ready to explain these concepts clearly and how you've applied them in real-world scenarios.
✨Prepare for Technical Questions
Expect technical questions related to model development and algorithm optimisation. Review common algorithms and be prepared to discuss how you would iterate on model architectures and hyperparameters to enhance performance.
✨Emphasise Collaboration Skills
This role involves working closely with cross-functional teams. Be ready to share examples of how you've successfully collaborated with others in past projects, highlighting your communication skills and teamwork.
